Forest biodiversity monitoring based on remotely sensed spectral diversity—A review

P Kacic, C Kuenzer - Remote Sensing, 2022 - mdpi.com
Forests are essential for global environmental well-being because of their rich provision of
ecosystem services and regulating factors. Global forests are under increasing pressure …

[HTML][HTML] Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing

M Torresani, C Rossi, M Perrone, LT Hauser… - Ecological …, 2024 - Elsevier
Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to
link between different aspects of biodiversity and spatial patterns of spectral data (eg …

[HTML][HTML] LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems

M Torresani, D Rocchini, A Alberti, V Moudrý… - Ecological …, 2023 - Elsevier
Abstract The “Height Variation Hypothesis” is an indirect approach used to estimate forest
biodiversity through remote sensing data, stating that greater tree height heterogeneity (HH) …

Mountain tree species mapping using Sentinel-2, PlanetScope, and airborne hyspex hyperspectral imagery

M Kluczek, B Zagajewski, T Zwijacz-Kozica - Remote Sensing, 2023 - mdpi.com
Europe's mountain forests, which are naturally valuable areas due to their high biodiversity
and well-preserved natural characteristics, are experiencing major alterations, so an …

The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale

M Perrone, M Di Febbraro, L Conti, J Divíšek… - Remote Sensing of …, 2023 - Elsevier
Biodiversity monitoring is crucial for ecosystem conservation, but ground data collection is
limited by cost, time, and scale. Remote sensing is a convenient approach providing …

Is spectral pixel-to-pixel variation a reliable indicator of grassland biodiversity? A systematic assessment of the spectral variation hypothesis using spatial simulation …

A Ludwig, D Doktor, H Feilhauer - Remote Sensing of Environment, 2024 - Elsevier
Abstract Covering 30%–40% of the terrestrial surface, grasslands are important hosts of
biodiversity, crucial for nutrient cycles and carbon sequestration. However, these …

Monitoring vegetation-and geodiversity with remote sensing and traits

A Lausch, P Selsam, M Pause… - … Transactions of the …, 2024 - royalsocietypublishing.org
Geodiversity has shaped and structured the Earth's surface at all spatio-temporal scales, not
only through long-term processes but also through medium-and short-term processes …

[HTML][HTML] Uncovering the hidden: Leveraging sub-pixel spectral diversity to estimate plant diversity from space

C Rossi, H Gholizadeh - Remote Sensing of Environment, 2023 - Elsevier
Remotely sensed spectral diversity has emerged as a promising proxy for plant diversity.
However, spectral diversity approaches relate image spectra to plant community diversity by …

Earth-observation-based monitoring of forests in Germany—recent progress and research frontiers: a review

S Holzwarth, F Thonfeld, P Kacic, S Abdullahi, S Asam… - Remote Sensing, 2023 - mdpi.com
One-third of Germany's land surface area is covered by forest (around 11.4 million hectares),
and thus, it characterizes the landscape. The forest is a habitat for a large number of animal …

Monitoring Water Diversity and Water Quality with Remote Sensing and Traits

A Lausch, L Bannehr, SA Berger, E Borg, J Bumberger… - Remote Sensing, 2024 - mdpi.com
Changes and disturbances to water diversity and quality are complex and multi-scale in
space and time. Although in situ methods provide detailed point information on the condition …